Sam Skrivan

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Maintaining environmental stability in a dynamic system is a difficult challenge. In your living room, when you set your thermostat to 68 degrees the actual temperature cycles above and below 68 degrees. We attempt to use a Recurrent Neural Network (RNN) in an Aquarium Control System that reduces such environmental swings (see Figure 1).
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